Reduction based Histogram Equalization Technique for Image Enhancement
Rupashri Barik1, Tanusree Saha2, Supriyo Chatterjee3
1Rupashri Barik, Assistant Professor, Department of Information Technology, JIS College of Engineering Kalyani, Nadia, W. B., India.
2Tanusree Saha, Assistant Professor, Department of Information Technology, JIS College of Engineering Kalyani, Nadia, W. B., India.
3Supriyo Chatterjee,Student, Department of Information Technology, JIS College of Engineering,Kalyani, Nadia, 741235, W. B., India,
Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 1268-1271 | Volume-8 Issue-11S September 2019 | Retrieval Number: K125509811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1255.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Here the proposed scheme mainly emphasizes the procedure of histogram equalization of images in more efficient way. Histogram equalization is required for image enhancement. Histogram spreads or flattens the histogram of an image and due to this the pixels with lower intensity values appear darker and the pixels with higher intensity values appear lighter. So the contrast of the input image is improved. For human interpretation various techniques of image enhancement have been widely used in different applications areas of image processing as the subjective quality of images is mainly important.
Keywords: Histogram, Histogram equalization, Probability Density Function, Cumulative Distribution Function.
Scope of the Article: Image Analysis and Processing